Instructions to use ShadowAugust/basedb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShadowAugust/basedb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShadowAugust/basedb", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d4baa8024d038f4adaa2f9eef98309af090772f14b4f0db453af82c4cc0adc28
- Size of remote file:
- 3.44 GB
- SHA256:
- 205f1fb2c68f58aaf79e516e1d8d1bb71726cbbd33a7d45cc03441364a1e3bd3
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